---
license: mit
base_model: microsoft/xtremedistil-l6-h384-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_trainer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# test_trainer

This model is a fine-tuned version of [microsoft/xtremedistil-l6-h384-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h384-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1134
- Accuracy: 0.9770

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 24

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 10   | 0.6990          | 0.4967   |
| No log        | 2.0   | 20   | 0.6889          | 0.4967   |
| No log        | 3.0   | 30   | 0.6503          | 0.7697   |
| No log        | 4.0   | 40   | 0.4720          | 0.9276   |
| No log        | 5.0   | 50   | 0.3175          | 0.9572   |
| No log        | 6.0   | 60   | 0.2181          | 0.9770   |
| No log        | 7.0   | 70   | 0.1761          | 0.9770   |
| No log        | 8.0   | 80   | 0.1551          | 0.9770   |
| No log        | 9.0   | 90   | 0.1427          | 0.9770   |
| No log        | 10.0  | 100  | 0.1345          | 0.9770   |
| No log        | 11.0  | 110  | 0.1341          | 0.9737   |
| No log        | 12.0  | 120  | 0.1240          | 0.9770   |
| No log        | 13.0  | 130  | 0.1214          | 0.9770   |
| No log        | 14.0  | 140  | 0.1182          | 0.9770   |
| No log        | 15.0  | 150  | 0.1164          | 0.9770   |
| No log        | 16.0  | 160  | 0.1149          | 0.9770   |
| No log        | 17.0  | 170  | 0.1141          | 0.9770   |
| No log        | 18.0  | 180  | 0.1131          | 0.9770   |
| No log        | 19.0  | 190  | 0.1127          | 0.9770   |
| No log        | 20.0  | 200  | 0.1121          | 0.9770   |
| No log        | 21.0  | 210  | 0.1119          | 0.9770   |
| No log        | 22.0  | 220  | 0.1117          | 0.9770   |
| No log        | 23.0  | 230  | 0.1128          | 0.9770   |
| No log        | 24.0  | 240  | 0.1134          | 0.9770   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0